Triple
T11157686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man from Elysian Fields |
E263952
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Richard Nord |
E658662
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Richard Nord | Statement: [The Man from Elysian Fields, editedBy, Richard Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Nord Context triple: [The Man from Elysian Fields, editedBy, Richard Nord]
-
A.
Richard Nord
chosen
Richard Nord is a film editor known for his work on action movies, including the 1992 Wesley Snipes thriller "Passenger 57."
-
B.
Paul Adelstein
Paul Adelstein is an American actor best known for his role as Dr. Cooper Freedman on the television medical drama "Private Practice."
-
C.
Robert Levine
Robert Levine is an American cardiologist best known as the husband of actress Mary Tyler Moore.
-
D.
Barry Schindel
Barry Schindel is a television producer and writer known for his work on crime and drama series, including serving as an executive producer on the show "Castle."
-
E.
Joseph Markovitch
Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46352e0688190924f15bc7d7ede90 |
completed | April 19, 2026, 5:08 a.m. |
Created at: April 8, 2026, 9:28 p.m.